Literature DB >> 23388109

Registration of sliding objects using direction dependent B-splines decomposition.

V Delmon1, S Rit, R Pinho, D Sarrut.   

Abstract

Sliding motion is a challenge for deformable image registration because it leads to discontinuities in the sought deformation. In this paper, we present a method to handle sliding motion using multiple B-spline transforms. The proposed method decomposes the sought deformation into sliding regions to allow discontinuities at their interfaces, but prevents unrealistic solutions by forcing those interfaces to match. The method was evaluated on 16 lung cancer patients against a single B-spline transform approach and a multi B-spline transforms approach without the sliding constraint at the interface. The target registration error (TRE) was significantly lower with the proposed method (TRE = 1.5 mm) than with the single B-spline approach (TRE = 3.7 mm) and was comparable to the multi B-spline approach without the sliding constraint (TRE = 1.4 mm). The proposed method was also more accurate along region interfaces, with 37% less gaps and overlaps when compared to the multi B-spline transforms without the sliding constraint.

Entities:  

Mesh:

Year:  2013        PMID: 23388109     DOI: 10.1088/0031-9155/58/5/1303

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  17 in total

1.  Computing global minimizers to a constrained B-spline image registration problem from optimal l1 perturbations to block match data.

Authors:  Edward Castillo; Richard Castillo; David Fuentes; Thomas Guerrero
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

2.  LungRegNet: An unsupervised deformable image registration method for 4D-CT lung.

Authors:  Yabo Fu; Yang Lei; Tonghe Wang; Kristin Higgins; Jeffrey D Bradley; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-02-26       Impact factor: 4.071

3.  Pulmonary lobe separation in expiration chest CT scans based on subject-specific priors derived from inspiration scans.

Authors:  Christian Bauer; Michael Eberlein; Reinhard R Beichel
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-09

4.  GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications.

Authors:  Bartłomiej W Papież; James M Franklin; Mattias P Heinrich; Fergus V Gleeson; Michael Brady; Julia A Schnabel
Journal:  J Med Imaging (Bellingham)       Date:  2018-04-04

5.  Investigating the minimum scan parameters required to generate free-breathing motion artefact-free fast-helical CT.

Authors:  David H Thomas; Jun Tan; Jack Neylon; Tai Dou; Dylan O'Connell; Michael McNitt-Gray; Percy Lee; James Lamb; Daniel A Low
Journal:  Br J Radiol       Date:  2017-11-21       Impact factor: 3.039

6.  A locally adaptive regularization based on anisotropic diffusion for deformable image registration of sliding organs.

Authors:  Danielle F Pace; Stephen R Aylward; Marc Niethammer
Journal:  IEEE Trans Med Imaging       Date:  2013-07-25       Impact factor: 10.048

7.  Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations.

Authors:  Jang Pyo Bae; Siyeop Yoon; Malinda Vania; Deukhee Lee
Journal:  J Digit Imaging       Date:  2021-01-22       Impact factor: 4.056

8.  A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery.

Authors:  Pablo Alvarez; Simon Rouzé; Michael I Miga; Yohan Payan; Jean-Louis Dillenseger; Matthieu Chabanas
Journal:  Med Image Anal       Date:  2021-01-30       Impact factor: 13.828

9.  Individually wide range of renal motion evaluated by four-dimensional computed tomography.

Authors:  Hideomi Yamashita; Mami Yamashita; Masahiko Futaguchi; Ryousuke Takenaka; Shino Shibata; Kentaro Yamamoto; Akihiro Nomoto; Akira Sakumi; Satoshi Kida; Yoshihiro Kaneko; Shigeharu Takenaka; Takashi Shiraki; Keiichi Nakagawa
Journal:  Springerplus       Date:  2014-03-07

10.  Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images.

Authors:  Takayuki Kanai; Noriyuki Kadoya; Kengo Ito; Yusuke Onozato; Sang Yong Cho; Kazuma Kishi; Suguru Dobashi; Rei Umezawa; Haruo Matsushita; Ken Takeda; Keiichi Jingu
Journal:  J Radiat Res       Date:  2014-07-22       Impact factor: 2.724

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.